Clankart Logo

Buy used Bachelor of Technology (B.Tech) books online in India

Buy Second Hand Books, Used Books Online In India

Advertisement
Want to see your books here? Have Used Books?
Make some extra cash by selling your old books for actual money in your UPI/Bank account. Go on, it's quick and easy.
Machine Learning GTU (AI&ML/AI&DS/CSE(AI&ML) - BE05000211)

Machine Learning GTU (AI&ML/AI&DS/CSE(AI&ML) - BE05000211)

₹224 ₹335
33% off

Syllabus Machine Learning - (BE05000211) Total Credits = TH / 30 Assessment Pattern and Marks Total Marks Theory Tutorial / Practical ESE (E) PA (M) PA (I) PBL (I) ESE (V) 03 70 30 20 30 50 200 Unit No. Content 1 Introduction What is Learning, Machine Learning, Comparison of machine learning with traditional programming, AI vs ML vs DL, Machine learning lifecycle, Types of machine learning: Supervised, Unsupervised and Reinforcement learning, Types of problems: Regression, Classification and Clustering, Dataset: Training, Testing, Underfitting, Overfitting, Bias-Variance Tradeoff. (Chapter - 1) 2 Supervised Learning - Regression Simple Linear regression, Multiple linear regression, Gradient Descent Algorithm, Polynomial Regression, Cost function. (Chapter - 2) 3 Supervised Learning Classification Logistic Regression, Decision Tree, CART, Support Vector machine, Nave bayes, K-NN, Dimensionality Reduction - PCA. (Chapter - 3) 4 Ensemble Learning and Model Evaluation Ensemble Methods: Bagging (Random Forest), Boosting (XGBoost), Model Evaluation and Validation: Confusion Matrix, Accuracy, Precision, Recall, ROC Curve, F1- score, Cross-validation techniques: k-fold, stratified k-fold. (Chapter - 4) 5 Unsupervised Learning Introduction of Unsupervised Learning, Application of unsupervised learning, Clustering algorithms - Partitioning Methods (k-means and k-Medoids), Hierarchical Methods (Agglomerative, Divisive), Density-based methods (DBSCAN). (Chapter - 5) 6 Advanced Topics Introduction to Neural Networks, overview of Reinforcement Learning, Components of Reinforcement learning, ML Tools: Numpy, Pandas, Tensorflow, Scikit Learn, Case Studies of Machine Learning Applications. (Chapter - 6)

4 days ago
Advertisement
Computer Science: A Structured Programming Approach Using C  3rd Edit

Computer Science: A Structured Programming Approach Using C 3rd Edit

₹300 ₹625
52% off

The third edition of Computer Science: A Structured Programming Approach Using C continues to present both computer science theory and C-language syntax with a principle-before-implementation approach. Forouzan and Gilberg employ a clear organizational structure, supplemented by easy-to-follow figures, charts, and tables. The new edition has been thoroughly updated to reflect the new C99 standard, and includes a revised chapter sequence to better aid student learning. Features: Intended for a first course in the C programming language. Introduces programming principles before details of the C language are implemented. Emphasizes structured programming and software engineering. Contains robust end-of-chapter material, including Review Questions, Exercises and Projects. Table Of Contents: 1. Introduction to Computers2. Introduction to the C Language3. Structure of a C Program4. Functions5. Selection-Making Decisions6. Repetition7. Text Input/Output8. Arrays9. Pointers10. Pointer Applications11. Strings12. Enumerated, Structure, and Union Types13. Binary Input/Output14. Bitwise Operators15. ListsAppendicesA: Character SetsB: KeywordsC: FlowchartingD: Numbering SystemsE: Integer and Float LibrariesF: Function LibrariesG: Preprocessor CommandsH: Command-Line ArgumentsI: Pointers to Void and to FunctionsJ: Storage Classes and Type QualifiersK: Program DevelopmentL: Understanding Complex Declarations

1 week ago
Advertisement
Advertisement
Advertisement